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Data Science Manager Salary

By Neil Witten

According to Fortune, data scientist roles have a projected growth rate of 36% from 2021 to 2031.

With the growing demand for data science, there has never been a better time to secure a first or next role as a data science manager. At AI/ML Jobs, we bring you the latest insight on data science manager positions, including compensation, employment opportunities, and ways to excel in the field. 

In this guide, we’ll look specifically at how much data science managers receive on average before discussing related topics including the factors that shape their salary and how salaries differ depending on contexts like employer and location. 

Let’s dive in!

What’s the Verdict on Data Science Manager Salaries?

Data science managers make anywhere between $100,000 to $483,000 with the median figure coming to $229,950.

Although data science managers typically earn less than ML/AI software engineers and software engineering managers, their salaries can still reach $200,000 or more. This makes them some of the highest-paid professionals in the industry. 

Despite their lower average compensation, they play a crucial role in the data science field, and their expertise is highly valued across all industries.

 Factors that Influence Data Science Manager Salary

A wide range of factors can shape how much a data science manager will receive. Let’s explore some of the key factors.

Years of Experience

More experience usually means higher pay. If companies know you have more relevant experience, they may be willing to pay more than otherwise.

According to Glassdoor, data science managers with 1–3 years of experience make about $118,000 to $193,000 on average, while those with 7-15+ years of experience tend to earn somewhere in the region of $141,000 to $287,000.

Seniority

Related to years of relevant experience, your seniority can also shape how much an organization will offer you when hiring for a data science manager. Data science managers often require five years of experience to land their first job in this position and more to move up the ranks.

Location

Data scientists tend to make more in the U.S. than elsewhere. Also, living in a major city typically results in higher salaries

As a case in point, let’s look at the difference in pay between major cities and smaller ones. For this role, the median salary is $294,000 in San Francisco, compared to $117,772 in Indianapolis (less than half).

The same difference can be seen at a state level as well. Here are some data science salaries from around the US:

  • California: $169,007 per year
  • New York: $150,819 per year
  • Texas: $139,016 per year
  • Illinois: $135,121 per year
  • Florida: $132,511 per year
  • Virginia: $141,703 per year

Education

A higher education level can also increase your chances of securing a relatively high starting salary as a data science manager. According to the U.S. Bureau of Labor Statistics, each level of education brings higher earning potential. 

While some applying for the role of a data science manager may have an undergraduate degree, securing a relevant Master’s degree can improve your chances of success.

Negotiation Skills

The stronger your negotiation skills, the better chances you have of securing a favorable deal. This includes one with a higher salary than most.

According to Procurement Tactics, 85% of Americans aged 25 to 35 who countered on salary, got at least a certain percentage of what they requested. This is, of course, a valuable point that applies across all generations. 

However, just 29% of job seekers reported negotiating salary at their current job.

What Do Employees Say About The Role?

Exploring discussions on Quora and Reddit, here were some of the key themes we noticed:

  • Working well with your team is essential—this requires the right approach to communication.
  • Some employees felt concerned about their job security since with a relative lack of heavy lifting and a greater focus on people management, they worried they were more disposable than those with a greater focus on specialized technical skills.
  • It often falls on data science managers to deliver bad news about the feasibility, practicality, or value of projects and initiatives—and that can be stressful.
  • Giving honest, constructive feedback to underperformers can prevent months of personal effort and escalation to management. This approach promotes growth with sensitivity.
  • Reading, studying, and obtaining mentorship from those with more experience as a data science manager is a great way to approach success in the role.
  • Using team discussions to close gaps and increase efficiencies can prove essential to creating a successful work culture in your team.

As for requesting a raise specifically, here is some advice from data science managers:

  • Compare your salary to others in similar positions (e.g., role, location, experience) using salary comparison tools to see if you are being underpaid.
  • When asking for a raise, be cautious and strategic about timing. Companies with quarterly cycles suit those seeking a salary in six months while waiting until one year is best for those with bi-annual or annual cycles.
  • Show your employer you care about more than money. Aim to prioritize the success of the business, career development, and other driving factors, not just a raise.

How Do Data Science Manager Salaries Differ by Seniority & Experience

Here is how much data science managers receive based on experience:

SeniorityYears of ExperienceSalary Range
Entry Level0–1$113,000–$186,000
Intermediate1–3$118,000–$193,000
Mid-Level4–6$127,000–$203,000
Higher Level7–9$142,000–$224,000
Senior or Executive-Level10-14$159,000–$252,000
Senior or Executive-Level15+$159,000–$288,000

As you can see, salary ranges inevitably increase with experience. However, the rate at which these ranges increase is not completely steady. 

From 0–1 years of experience to 1–3 years of experience we notice a 4.3% rise in salary and then from 1–3 years to 4–6 years of experience, a 5.9% increase. 

However, the rate at salaries rises significantly from 4-6 to 7-9 years with an 11% rise. This is followed by a 12.4% increase from 7-9 to 10-14 years and finally, a 13.8% rise from 10-14 to 15+ years.

How Do Data Science Manager Salaries Compare to Other Jobs?

Data science managers fall somewhere in the middle of related roles when it comes to salary:

PositionAverage Total Pay% Above or Below
Data Science Manager$229,950
Data Scientist$159,800-30.5%
Software Engineering Manager$290,000+26.1%
ML/AI Software Engineer$245,000+6.5%

Although software engineering managers tend to earn considerably more than data science managers, the same is not necessarily true for the average data scientist. This is likely due to the higher level of seniority held by data science managers. 

As such, while there may be some disparity between these roles in terms of compensation, both offer unique opportunities for growth and development.

How Do Data Science Manager Salaries Differ by Company?

Here is how much data science managers make (on average) at different companies:

CompanyAverage Total Pay
Meta$313,621
Google$397,000
Microsoft$360,000
Nvidia$225,593
IBM$206,824
Accenture$162,055
Amazon$146,646

Unsurprisingly, FAANG companies offer above-average compensation packages for data science managers while comparatively smaller companies (e.g., Accenture and Nvidia) offer smaller (but still competitive) salaries.

How Do Data Science Manager Salaries Differ by Industry?

IndustryBase PayAdditional PayAverage Total Pay
Legal$92,808$22,758$115,566
Aerospace & Defense$121,612$45,497$167,109
Agriculture$121,427$46,547$167,973
Arts, Entertainment & Recreation$121,612$45,497$167,109
Pharmaceutical & Biotechnology$121,612$45,497$167,109
Management & Consulting$121,612$45,497$167,109
Construction, Repair & Maintenance Services$121,612$45,497$167,109
Personal Consumer Services$116,607$44,071$160,678
Education$112,681$34,332$147,013
Financial Services$126,107$48,705$174,813
Government & Public Administration$121,612$45,497$167,109
Healthcare$113,660$42,825$156,485
Information Technology$123,533$49,779$173,313
Insurance$122,059$42,199$164,258
Manufacturing$114,655$36,576$151,231
Media & Communication$121,612$45,497$167,109
Nonprofit & NGO$121,612$45,497$167,109
Energy, Mining & Utilities$121,612$45,497$167,109
Real Estate$118,097$47,559$165,655
Restaurants & Food Service$121,612$45,497$167,109
Retail & Wholesale$121,612$45,497$167,109
Telecommunications$111,385$34,996$146,380
Transportation & Logistics$121,612$45,497$167,109
Hotel & Travel Accommodation$121,612$45,497$167,109
Human Resources & Staffing$121,612$45,497$167,109

Although it may come as a surprise, data science managers receive the highest compensation on average in financial services, earning more than $173,000 per year. Subsequently, IT salaries follow closely behind.

It’s evident that data science managers receive impressive salaries across a range of sectors, but there are some exceptions. For instance, data science managers in the legal sector earn an average of $115,000 annually.

Conclusion

In this guide, we’ve looked at how much the average data science manager receives. We’ve also looked at data science manager salaries in various contexts (e.g., companies and level of experience/seniority) and delved into related topics like salary factors.

If you’re all set to secure your first or next data science role, AI/ML Jobs is the perfect place to start. 

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